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Core Methods

51,083 papers (8 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Representation Learning (22,308) Classification (15,497) Regression (5,281) Clustering (3,809) Embedding Learning (3,795) Metric Learning (2,938) Graph Neural Networks (1,211) Graphical Models (1,093) Feature Learning (891) Kernel Methods (795) Dimensionality Reduction (780) Interpretability (512) Feature Selection (511) Matrix Factorization (408) Ranking (315) Ensemble Methods (300) Support Vector Machine (295) Anomaly Detection (281) Sequence Modeling (244) Structured Prediction (237) Sequence Labeling (157) Topic Modeling (150) Sparse Coding (140) Matrix Completion (131) Neural Networks (114) Retrieval (105) Density Estimation (104) Estimation (83) Inference (56) Decision Tree (50) Feature Extraction (40) Model Selection (39) Prediction (35) Information Extraction (7)

Papers per year

4
51
357
966
4,853
5,823
2000
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'15
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'25

Papers (including subtopics)

Probabilistic Non-linear Principal Component Analysis with Gaussian Process Latent Variable Models JMLR 2005 Semigroup Kernels on Measures JMLR 2005 Separating a Real-Life Nonlinear Image Mixture JMLR 2005 Smooth ε-Insensitive Regression by Loss Symmetrization JMLR 2005 Tree-Based Batch Mode Reinforcement Learning JMLR 2005 Tutorial on Practical Prediction Theory for Classification JMLR 2005 Universal Algorithms for Learning Theory Part I : Piecewise Constant Functions JMLR 2005 Working Set Selection Using Second Order Information for Training Support Vector Machines JMLR 2005 A Compression Approach to Support Vector Model Selection JMLR 2004 A Fast Algorithm for Joint Diagonalization with Non-orthogonal Transformations and its Application to Blind Source Separation JMLR 2004 A Universal Well-Calibrated Algorithm for On-line Classification JMLR 2004 Bias-Variance Analysis of Support Vector Machines for the Development of SVM-Based Ensemble Methods JMLR 2004 Boosting as a Regularized Path to a Maximum Margin Classifier JMLR 2004 Dimensionality Reduction for Supervised Learning with Reproducing Kernel Hilbert Spaces JMLR 2004 Distance-Based Classification with Lipschitz Functions JMLR 2004 Distributional Scaling: An Algorithm for Structure-Preserving Embedding of Metric and Nonmetric Spaces JMLR 2004 Efficient Feature Selection via Analysis of Relevance and Redundancy JMLR 2004 Fast Binary Feature Selection with Conditional Mutual Information JMLR 2004 Fast String Kernels using Inexact Matching for Protein Sequences JMLR 2004 Feature Discovery in Non-Metric Pairwise Data JMLR 2004 Feature Selection for Unsupervised Learning JMLR 2004 Generalization Error Bounds for Threshold Decision Lists JMLR 2004 Hierarchical Latent Class Models for Cluster Analysis JMLR 2004 In Defense of One-Vs-All Classification JMLR 2004 Knowledge-Based Kernel Approximation JMLR 2004